Juan Pablo Escudero

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 8

Top Topics

Recognition Accuracy

Feature Mapping

Cepstral Coefficients

Speech Recognition

Top Venues

ACM Trans. Hum. Robot Interact.

Publications

José Novoa, Rodrigo Mahú, Jorge Wuth, Juan Pablo Escudero, Josué Fredes, Néstor Becerra Yoma
Automatic Speech Recognition for Indoor HRI Scenarios. ACM Trans. Hum. Robot Interact. 10 (2) (2021)
José Novoa, Jorge Wuth, Juan Pablo Escudero, Josué Fredes, Rodrigo Mahú, Néstor Becerra Yoma
DNN-HMM based Automatic Speech Recognition for HRI Scenarios. HRI (2018)
Juan Pablo Escudero, José Novoa, Rodrigo Mahú, Jorge Wuth, Fernando Huenupán, Richard M. Stern, Néstor Becerra Yoma
An improved DNN-based spectral feature mapping that removes noise and reverberation for robust automatic speech recognition. CoRR (2018)
José Novoa, Juan Pablo Escudero, Jorge Wuth, Víctor Poblete, Simon King, Richard M. Stern, Néstor Becerra Yoma
Exploring the robustness of features and enhancement on speech recognition systems in highly-reverberant real environments. CoRR (2018)
José Novoa, Juan Pablo Escudero, Josué Fredes, Jorge Wuth, Rodrigo Mahú, Néstor Becerra Yoma
Multichannel Robot Speech Recognition Database: MChRSR. CoRR (2018)
Juan Pablo Escudero, Víctor Poblete, José Novoa, Jorge Wuth, Josué Fredes, Rodrigo Mahú, Richard M. Stern, Néstor Becerra Yoma
Highly-Reverberant Real Environment database: HRRE. CoRR (2018)
José Novoa, Jorge Wuth, Juan Pablo Escudero, Josué Fredes, Rodrigo Mahú, Richard M. Stern, Néstor Becerra Yoma
Robustness Over Time-Varying Channels in DNN-HMM ASR Based Human-Robot Interaction. INTERSPEECH (2017)
Víctor Poblete, Juan Pablo Escudero, Josué Fredes, José Novoa, Richard M. Stern, Simon King, Néstor Becerra Yoma
The Use of Locally Normalized Cepstral Coefficients (LNCC) to Improve Speaker Recognition Accuracy in Highly Reverberant Rooms. INTERSPEECH (2016)